7:30 - 9:00am |
Registration & Breakfast |
Chair: Terrence Sejnowski |
9:00 am |
Saket Navlaka - Salk Institute
"A neural algorithm for similarity search" |
9:30 am |
Bruce McNaughton - UCI/Lethbridge
"Zipping and unzipping the hippocampal index code" |
10:00 am
|
Tad Blair - UC Los Angeles
"Conjugate coding of position and velocity by within- and between-cell spike intervals" |
10:30 am |
Break |
10:45 am |
Keynote: David Anderson - Caltech
"Neural control of social behaviors and internal states" |
11:45 am |
Spotlights |
12:15 pm |
Lunch and Posters/Demos |
Chair: Gert Cauwenberghs |
1:45 pm |
John Iversen - Institute for Neural Computation
"Rhythms in Music, Language and Brain: Neural dynamics of beat perception" |
2:15 pm |
Terry Sanger - University of Southern California
"Why brains don't use floating-point arithmetic: Scalable precision, instantaneous computation, and efficient storage in rate-coded spiking networks" |
2:45 pm |
Zhuowen Tu - UC San Diego
"Deep supervision for deep learning: training, regularization,
and multi-scale learning" |
3:15 pm |
Break |
3:30 pm |
Xin Wang - Intel/Nervana
"Building a platform for machine intelligence" |
4:00 pm |
Blythe Towal - Qualcomm
"Deep learning at the edge: How we get there and how insight from neuroscience can help" |
4:30 pm |
Keynote: Hava Siegelmann - DARPA:
"Computational principles in the brain" |
5:30 pm |
Closing Remarks: Terrence Sejnowski |